Social and Environmental Forestry

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Subject: search.filters.subject.climate change

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    Geospatial assessment of climate sensitivity in Ibarapa North, Oyo State, Nigeria
    (Faculty of Agriculture, Usmanu Danfodiyo University, Sokoto, Nigeria, 2024) Agbor, C.F.; Akintunde-Alo, D. A.; Ogunwale, O. R.
    This study employed remote sensing and geographic information system (GIS) to evaluate the spatial pattern of carbon(iv)oxide (CO2) concentration and the resulting climate sensitivity in Ibarapa North local government areas of Oyo State, Nigeria. The evaluation was carried out using Landsat images of 2003 and 2023, digital elevation model, as well as CO2 data collected with CO2. meter. Surface temperature and radiative forcing were generated from the satellite images using random forest algorithm in 𝑅 software environment, while the climate sensitivity was evaluated using Drakes’ Sensitivity Linear Model. The results revealed mean air temperature of 31.5oC and 32.7oC in 2003 and 2023 respectively. The area experienced positive radiative forcing mean value of about 2.69𝑊 𝑚−2, which indicates more energy being trapped on the earth’s surface that could cause warming. The climate sensitivity in 2023 was 0.4oC 𝑚−2s-2 which falls below global average of about 3oC 𝑚−2s-1. The CO2 concentration was extrapolated based on the mathematical function derived from the regression function between the variable and elevation. The results revealed positive radiative forcing and low climate sensitivity value. This may seem positive, but that doesn’t negate the need for action to mitigate adverse effects of climate change.
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    Spatial Trend Analysis of Temperature and Rainfall and Their Perceived Impacts on Ecosystem Services in Mau Forest, Kenya
    (International Information and Engineering Technology Association, 2021) Jebiwott1, A.; Ogendi, G. M.; Agbeja, B. O.; Alo A. A.; Mukonambi, M. M.
    The Mau Forest Complex is an important ecosystem in Kenya providing many ecosystem services to the local communities. However, its degradation has rendered its ability to deliver its ecosystem services such as climate regulation ineffective. This study's objective was to assess the local climate trend in terms of rainfall and temperature and their perceived impacts on ecosystem services in Mau Forest, from 1984 to 2020. We obtained gridded meteorological data for the study area from the Kenya Meteorological Department and analyzed it using Mann Kendell’s test to identify significant trends in temperature and rainfall. Focus Group Discussions were also carried out to establish the people's perceptions of local climate change and its impacts on ecosystem services. The results of the study indicate no significant trend, p>0.05, in annual rainfall over time. On the other hand, the results show a significant trend, p=3.696e-06, in average annual temperature with approximately 2℃ increase. from 1984 to2020. The local climate change has seen a decline in ecosystem services, mainly water levels and agricultural produce. To cope with and mitigate the effects of climate change, there is need to emphasize establishment of agroforestry woodlots and practice of climate-smart agriculture among the forest adjacent communities